Method and system for dynamically adjusting discount rates for a card transaction

ABSTRACT

According to one embodiment, the present invention relates to a method and a system for dynamically adjusting discount rates for a closed loop transaction. A computer implemented method for dynamically adjusting discount rates for a card transaction comprises the steps of identifying credit worthiness of at least one consumer; assigning a credit level to a line of credit associated with a credit product for the at least one consumer wherein the credit product is accepted at an identified one or more merchants; assigning a financing charge to the line of credit; determining a discount rate based at least in part on the credit worthiness of the at least one consumer; and applying the discount rate when at least one transaction is made with the credit product; wherein the applied discount rate is adjusted based on the credit worthiness of the at least one consumer.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application claims priority to U.S. Provisional PatentApplication No. 60/495,709, filed Aug. 18, 2003, which is herebyincorporated by reference herein in its entirety.

FIELD OF THE INVENTION

The present invention relates generally to adjusting discount rates and,more particularly, to a method and system for dynamically adjustingdiscount rates for a transaction based at least in part on consumer riskthereby shifting the premium for consumer risk to a merchant entity.

BACKGROUND OF THE INVENTION

As the card business has become more sophisticated, it has alsodisaggregated into a non-monolithic structure. There are some playersthat perform most of the functions in-house while many others haveout-sourced functions to third party providers. The most commonoperating model is to retain operating control over the Three Cs—credit,customer service, and collections—although sub-systems may be licensedto execute these functions. Cardholders generally refer to consumers andbusinesses that have accounts with issuers. Issuers solicit credit cardaccounts, extend credit, stimulate activity and usage, perform customerservice, collect payments, and manage cardholder risk. Merchants may beany business, not-for-profit or government organization engaged inexchanging value via credit cards. Credit sales are settled to amerchant's demand deposit account (DDA) that the merchant has with acommercial bank, also referred to as the merchant bank. Acquirers may bereferred to as “merchant processors.” Acquirers purchase credit salesfrom merchants and forward the balances to issuers. In order to do this,an authorization process obtains, transports and routes data to enableauthorization and electronic settlement between/among issuers,acquirers, and the bank where the merchant maintains an account toreceive cash credit card receipts.

Card associations set the operating rules and enforce them with variousconstituents in the industry. They also act as a common utility andoperate the communications network, the switching and routing function,and certain back-up and stand-in functions, such as authorizations. Cardassociations are also significantly engaged in globally developing andmaintaining brand equity and card acceptance. Almost any function can beout-sourced to third party providers. Usually but not in all cases, thedecisioning criteria may be set by an industry client entity and anoutsourcer may act as an agent performing functions in accordance withcontractual specifications set by the client entity. Such functions mayinclude credit granting; application processing; plastics issuing;accounts receivable processing (e.g., applying entries, computingbalances and interest, etc.); statement rendition and mailing; paymentprocessing; authorization processing, switching, and routing; riskmanagement algorithms—application scoring, behavioral scoring, fraudcontrols; selling merchants; purchasing credit card sales; settlementprocessing; customer service; and collections, both pre and postwrite-off.

Regulators may include banking entities within the industry that areregulated by various federal and state regulators. Through theinterstate commerce clause and other powers given by Congress, thefederal government regulates fair credit granting, fair creditreporting, fair debt collection, and consumerist issues via the FederalTrade Commission (FTC). Federal courts have also defined distinctionsbetween loans and credit purchases—a subtle distinction where purchasesgenerally are freed of state regulations for usury and terms andconditions making purchases more flexible transactions. States regulateinterest rates, fees both directly and indirectly (via usury limits) andterms and conditions for accounts which have been extended credit fromwithin their states. Card issuers with national charters or who areinsured by the Federal Deposit Insurance Corporation (FDIC) can exportrates across state lines such that an issuer who performs thecredit-granting function in Delaware may charge Delaware rates to aMaryland customer without regard to Maryland law. As a result, issuerslocate their credit-granting functions in states with favorable lawssuch as Delaware, South Dakota, Nevada, and New Hampshire. Retailers whoextend credit are granted the right to do so through the RetailInstallment Credit Act (RICA) but are expected to comply with all statelaws. As a result, retailers are severely limited in their ability tomanage risk by usury law constraints (unless they obtain a bank charter)and have the de facto and de jure inefficiencies of operating in 50different jurisdictions.

According to a general purpose credit card (GPCC) economic compensationmodel, there are three sources of revenue in the industry which includefinance charge income, fees and discount income. Finance charge incomeis the gross annual percentage rate (APR) of interest collected fromcardholders. This typically yields less than the nominal APR because ofthe portion of balances which are paid in full each month and earn nointerest. These balances are attributable to cardholders who do not usethe cash flow financing benefits of the card and are typicallyrewards-seekers who spend liberally on the card but pay their balancesoff each month. Issuers also fund the receivable at their cost of funds,so in practice, the spread, or interest differential, is the real sourceof revenue.

Fees are applied for late payments, over credit limit transactions,supplementary cards and having an active account, etc. Competitivefactors may make it difficult to impose all of these fees. Fees are alsoearned by selling credit-related services such as credit life insurance,lost card insurance, reporting services, marketing affiliations, and/orother services.

Discount income is earned from credit sales purchased from retailers.The discount is intended to cover the transaction cost, the cost offinancing receivables that are paid off in less than 30 days and earn nointerest, and as compensation for presenting a merchant with a customerwho is credit-worthy and eligible to make a purchase with credit. Theactual discount charged to the merchant may result from negotiationswith the acquirer. The acquirer considers profitability factors, such asbusiness volume, fraud rates, average ticket size, etc. when an offer ismade. Generally, an acquirer may have two known pricing components—feespaid to the associations and interchange fee paid to the issuer—and theresidual which covers the acquirer's operating expense and profit. Theinterchange rate may be set by the card association. In practice,interchange varies by type of card—generally these are GPCC cards,non-revolving cards, and procurement cards. While rates may vary fromcard to card, the model is substantially similar. Discount income may betypically split three ways: the acquirer retains a portion; a smallportion is paid to the card association for services; and a portion,referred to as “interchange” is forwarded to the card issuer.

Consumers of higher risk or less credit worthiness are generallyextended credit at premium (e.g., higher) interest rates to cover therisk. Accordingly “weak credits” are further stressed by the adversecash flow implications of premium interest rates. The balance isincreased by the amount of money calculated by the higher interestrates. The cost of borrowing discourages spending and lowers consumerconfidence. While there is a higher amount of risk associated withextending credit to such individuals, there are valid reasons forproviding all consumers access to credit, even at a premium cost ofborrowing.

Merchants generally make a certain margin on the goods and servicessold. Full service merchants may have mark-ups of 50% and somediscounters may have a mark-up of 27% margin. Credit card transactionsare actually the purchase transaction where the discount rates and/orinterchange fees may be applied. A discount rate is applied to thecredit sale, advancing the net amount after subtracting the discountfrom the gross sale in accordance with the contract through theacquirer. The discount rate for a general purpose credit card (“GPCC”)is negotiated between the acquirer and the merchant. For example, atypical GPCC discount rate may be 250 basis points or 2.5%. From thediscount rate, the Merchant Processor pays an interchange fee to aCredit Card Issuer, an assessment fee to a Card Association, and theresidual is provided to cover the acquirer's operating expense andprofit.

Interchange fees may include fees paid by a Merchant via MerchantAcquirer to a credit card issuer, such as Card Issuing Bank, fortransactions that are processed through interchange. Interchange mayrepresent a clearing and settlement system where data is exchangedbetween a Card Association and a Card Issuing Bank. Interchange fees maybe set to compensate for risk and operating expenses involved inprocessing a transaction. Interchange fees vary depending on the type ofcard presented, how it is processed, the type of merchant accepting thecredit card and/or other criteria.

As an applicant applies for a credit card, the applicant may be examinedto determine whether the applicant is creditworthy. Each credit cardissuer may have specific standards determining whether to offer creditto that individual and at what rate. According to some credit cardsystems, there are several different categories that an individual maybe placed in which the applicant is “risk-rated” and levied financecharges (and interest rates) in accordance with their risk rating (e.g.,higher risk, higher finance charge and interest rates).

In view of the foregoing, it would be desirable to provide a method andsystem for dynamically adjusting discount rates which overcomes theabove-described inadequacies and shortcomings.

SUMMARY OF THE INVENTION

According to an embodiment of the present invention, a method and asystem provides for dynamically adjusting discount rates for atransaction based at least in part on consumer risk thereby shifting thepremium for consumer risk to a merchant entity.

According to an exemplary embodiment of the present invention, acomputer implemented method for dynamically adjusting discount rates fora card transaction comprises the steps of identifying credit worthinessof at least one consumer; assigning a credit level to a line of creditassociated with a credit product for the at least one consumer whereinthe credit product is accepted at an identified one or more merchants;assigning a financing charge to the line of credit; determining adiscount rate based at least in part on the credit worthiness of the atleast one consumer; and applying the discount rate when at least onetransaction is made with the credit product; wherein the applieddiscount rate is adjusted based on the credit worthiness of the at leastone consumer.

In accordance with other aspects of this exemplary embodiment of thepresent invention, the method further comprises the step of dynamicallyadjusting the discount rate as the credit worthiness of the at least oneconsumer fluctuates; the credit worthiness is determined by a FICO riskscore; the method further comprises the step of assigning a secondcredit level to a second line of credit associated with the creditproduct wherein the second line of credit is for general use within acard association network; the second line of credit is dynamicallyadjusted; the step of determining the discount rate is based at least inpart on the credit worthiness of the at least one consumer furthercomprises the step of determining the discount rate based at least inpart on merchant-related data comprising at least one of sales data,inventory data, economy data, type of channel and type of merchandise;the method further comprises the step of dynamically adjusting thediscount rate as the merchant-related data is adjusted; a transactiontype is identified at a point of sale for routing the transaction to anappropriate network; an interchange fee associated with the generalpurpose line is based at least in part on the credit worthiness of theat least one consumer; the interchange fee is dynamically adjusted asthe credit worthiness of the at least one consumer fluctuates; the stepof determining a discount rate involves assigning a table of discountrates and selecting an appropriate discount rate for each transaction;the at least one consumer represents a class of consumers; and theidentified one or more merchants are within a closed loop network.

According to another exemplary embodiment of the present invention, acomputer implemented system for dynamically adjusting discount rates fora card transaction comprises an issuing module for identifying creditworthiness of at least one consumer; assigning a credit level to a lineof credit associated with a credit product for the at least one consumerwherein the credit product is accepted at an identified one or moremerchants; and assigning a financing charge to the line of credit; arate determining module for determining a discount rate based at leastin part on the credit worthiness of the at least one consumer; andapplying the discount rate when at least one transaction is made withthe credit product; wherein the applied discount rate is adjusted basedon the credit worthiness of the at least one consumer.

According to another exemplary embodiment of the present invention, amethod for implementing a credit card product with multiple lines ofcredit, the method comprising the steps of implementing a generalpurpose line with a first credit level; and implementing a private labelline with a second credit level different from the first credit level.In accordance with other aspects of this exemplary embodiment of thepresent invention, the private label line has an adjustable discountrate.

According to another exemplary embodiment of the present invention, atleast one signal embodied in at least one carrier wave for transmittinga computer program of instructions configured to be readable by at leastone processor for dynamically adjusting discount rates for a cardtransaction, the computer process comprising identifying means foridentifying credit worthiness of at least one consumer; assigning meansfor assigning a credit level to a line of credit associated with acredit product for the at least one consumer wherein the credit productis accepted at an identified one or more merchants; assigning means forassigning a financing charge to the line of credit; determining meansfor determining a discount rate based at least in part on the creditworthiness of the at least one consumer; and applying means for applyingthe discount rate when at least one transaction is made with the creditproduct; wherein the applied discount rate is adjusted based on thecredit worthiness of the at least one consumer.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to facilitate a fuller understanding of the present inventions,reference is now made to the appended drawings. These drawings shouldnot be construed as limiting the present inventions, but are intended tobe exemplary only.

FIG. 1 is a diagram of a system for dynamically adjusting discount ratesin a closed loop transaction, according to an embodiment of the presentinvention.

FIG. 2 is a diagram of a system for dynamically adjusting discountrates, according to an embodiment of the present invention.

FIG. 3 is a flowchart illustrating a method for adjusting a line ofcredit for a closed loop transaction, according to an embodiment of thepresent invention.

FIG. 4 is a flowchart illustrating a method for adjusting a line ofcredit for a dual card transaction, according to an embodiment of thepresent invention.

FIG. 5 is a flowchart illustrating a method for implementing a dualcard, according to an embodiment of the present invention.

DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENT(S)

An embodiment of the present invention generally relates to adjustingdiscount rates (separately or in combination with finance charges)dynamically over time in accordance with a risk profile and/or netpresent value of a cardholder or a class of cardholders. Higher riskcardholders may result in higher merchant discounts and lower riskcustomers may earn lower discounts in accordance with various riskforecasting and/or control algorithms. Other circumstances may warrantother adjustments in discount rates. Specific discount rates may beassigned by cardholder account in accordance with perceived risk and maybe dynamically adjusted periodically whenever the risk profile of thecardholder improves or deteriorates. Other factors and considerationsmay affect the rates.

An aspect of an embodiment of the present invention may be applied tothe credit card industry to enable the merchant discount to be adjusteddynamically by account and/or by transaction for a given cardholder at aspecific merchant (e.g., merchant location, type of merchant, etc.).However, this exemplary application is not limited to a credit cardapplication and may be used by a credit-grantor with a spectrum ofcustomers of varying risk and may be further applicable where there is asignificant segment of customers with marginal credit-worthiness, suchas the wireless phone industry. An embodiment of the present inventionmay be applied to a closed-loop environment where a credit-grantor hasmore control over the operating environment. This concept may be furtheradapted for the GPCC, open-loop environment.

An embodiment of the present invention honors current free marketindustry practices wherein a merchant negotiates to pay a fixed discountrate to an acquirer in exchange for the acquirer purchasing credit cardsales provided that they are properly authorized. Currently, thisdiscount varies by type of card and treats most cardholders as “defacto, equally risk-adjusted borrowers.” There is a practical limit tocharging premium interest rates to consumers because at some point theyare counter-productive and adversely impact the cash flow of theborrower and no longer serve to offset the borrower's risk but furtherexacerbate it.

By variably adjusting the merchant discount in accordance with theborrower's risk, the merchant shares the risk premium with the lenderand the cardholder. Indirectly, the merchant may participate in theauthorization decision because at some discount rate there will beinsufficient margin on the sale for the merchant to bear the premium.Moreover, by including the merchant in a system of variable,risk-adjusted, discount rates, the risk burden may be eased from thecardholder and spread, thereby resulting in greater access to credit forconsumers, higher levels of economic activity and enhanced value tosociety.

Merchants earn a margin on their sales, as represented by a differencebetween the prices to buyers and the wholesale prices at which goods arepurchased. A merchant may then “mark up” the wholesale price to achievea retail price. Mark-up is different from gross margin. Gross margin isdefined as the difference between wholesale cost and retail priceexpressed as a percentage of the retail price. Retailers also commonly“mark down” their goods to liquidate inventories or to earn incrementalrevenues via promotions and sales. For example, if a merchant buys agood at $7.50 and sells it for $10.00, the merchant has marked theproduct up 33% but his gross margin is 25%.

-   -   Mark-up=$2.50/$7.50 (wholesale cost)=33%    -   Gross margin=$2.50/$10.00 (retail price)=25%

Various sectors in retailing operate with varying gross margins. Withineach sector, there are various operating models. For example, largedepartment stores typically operate with a 50% gross margin while bigbox retailers might operate with 27% gross margin or less. Retailersalso serve different audiences in different locales with different inputcosts, such as land, labor, utilities, taxes, etc. that affect the costof doing business. Retailers generally adjust their gross marginsaccordingly. End-user pricing is generally more competitive between theinner and outer suburban rings and is generally higher in inner city andrural areas for various economic and competitive factors. Prices tend tovary regionally and are typically lower in certain geographical areas.Thus, retailers operate a variety of models at varying gross margins tofit economic and competitive factors in their indigenous markets.

According to an embodiment of the present invention, a closed loop modelmay be implemented. An acquirer, owned or in alliance with an issuer,may negotiate a sliding scale of discount rates which are optimized forvarious degrees of cardholder credit-worthiness. At some theoreticalpoint, a merchant will decline to sell goods to a high-risk customerbecause the marginal revenue will be insufficient to earn a profit. Thispoint may be captured and represented by a maximum rate in the slidingscale of discount rates.

The card issuer may issue cards that are accepted by a participatingmerchant (e.g., a large multi-outlet chain store merchant, etc.) andassign a specific discount rate for each cardholder in accordance with acomputer-driven, algorithmically-determined means for assessing theconsumer's credit-worthiness and risk. As credit information is gatheredover various periods of time from a variety of sources—internal filesand external sources (e.g., credit bureaus, public records, etc.)—thecard issuer may adjust and/or maintain the assigned discount rates aswarranted by changes in the credit behavior of cardholders and theportfolio. Other factors may also be considered, such as type ofpurchase, item purchased, timing of purchase, price of purchase,frequency of purchase(s), merchant factors, consumer factors, economicdata and/or other considerations.

Periodically, the acquirer may review the assigned discounts by classesof risk with the merchant and/or other criteria. As a practical matter,the issuer may justify the discounts, indicate changes in portfolio riskcomposition, and the mix of business brought to the merchant by theportfolio. When and where appropriate, the sliding scale of discountsmay be revised to fit business circumstances and/or otherconsiderations.

An embodiment of the present invention may include various componentsassociated with a card issuer system. For example, an ApplicationProcessor feature may evaluate, profile and classify cardholder riskfrom data derived from application data, external source data, andinternal proprietary sources (e.g., historical performance data,customer enterprise data, etc.). A Cardholder Risk-Reward Optimizerfeature may optimize new accounts based on a matrix of experimentallyderived behavioral data from accounts presenting themselves withlike-kind profiles and match the risk of a cardholder against theirexpected net present value (NPV). An appropriate discount rate may beapplied to the cardholder file or to a cross-reference file where thematrix may be applied to meet target rates of return. A unique BankIdentification Number (BIN) may be assigned to accounts operating withvariable, risk-adjusted discount rates so that they can be identifiedand managed differently from other credit cards. A Cardholder BehavioralData Risk-Reward Optimizer feature may monitor the cardholder economicaccount usage factors impacting net present value and credit behavior.External data and enterprise data for indications and changes inprojected NPV and credit-worthiness may be integrated. When indicated bychanges in expected NPV and/or changes in risk of delinquency and loss,an embodiment of the present invention may assign a revised,risk-adjusted discount rate in accordance with the change in economiccardholder behavior and/or risk to obtain a target NPV (or targetrange). A Multi-Rate Transaction Authorization feature may obtain therisk-adjusted discount rate for transactions emanating from cards withdefined BINs and forward the data to the acquirer so that the acquirermay purchase the sale with the specific cardholder, risk-adjustedmerchant discount rate. A Merchant Reporting feature enables the cardissuer to provide data to the acquirer who may combine the data with theacquirer's data for marketing and maintaining merchant support for therisk-adjusted discount system. Data may include the source of businessby class of accounts, aggregate sales brought to the merchant by theportfolio, change in the risk profile of the portfolio, indications ofthe change in the risk profile by accounts actively purchasing goodswith the merchant, and/or other information.

According to another embodiment of the present invention, the acquirermay identify cardholder BINs having risk-adjusted discounts and amend arequest for authorization message to request the assigned risk-adjusteddiscount rate for the cardholder. The acquirer may apply the specificrisk-adjusted discount rate by transaction with participating merchants.The acquirer may ensure that the appropriate portion of the merchantdiscount is forwarded to the issuer. The acquirer may also identifytransactions with risk-adjusted discounts originating from participatingmerchants.

In accordance with another embodiment of the present invention, a singlecard with a dual credit line for variable, risk-adjusted discount ratesare realized. For example, two open-end credit accounts may be accessedby a single card. The card may be issued with provider logos (e.g.,VISA™, MCI™, other credit card companies, vendors, service providers,etc.) and run over the provider's specific network(s). The card'sfunction as an identification device may be used to access at least twoaccounts owned by the same (or affiliated) customer where the accountshave distinguishing transactions, such as transactions carryingrisk-adjusted discount rates originating from merchants participating inthe risk-adjusted discount program.

For example, one line may have a risk-adjusted interest rate (RAIR) foruse in a GPCC environment at merchants that do not participate in therisk-adjusted discount (RAD) program, referred to hereafter as “non-RAD”merchants. According to one example, this line may be a minimum linesufficient to meet the requirements to offer pre-approved credit. Asecond line may be reserved for transactions carrying risk-adjusteddiscount(s) (RAD) from merchants participating in risk-adjusted discountprograms (“RAD merchants”) and may carry an APR lower than the RAIRline. In this example, the second line is the larger of the two lines.The issuer may post authorized transactions from RAD merchants to theRAD line and post transactions from non-RAD merchants to the RAIR line.Other conditions may apply. Further, additional lines may beimplemented. In some cases, dual credit lines may be adjusted monthly,daily, seasonally, hourly or based on other time periods, which may beperiodic or in response to a trigger event.

The card issuer may develop payment options for a cardholder so that thecardholder may have a single payment applied to a preferred line or tomultiple lines as the cardholder wishes. These choices may be madeavailable on a remittance document (or other document or communication)where a default position may be to apply the principal portion of thepayment proportionately equal to two or more lines. Other defaults maybe defined. A remittance processing system may automatically read theremittance document with an indicated payment option selected by thecardholder or may accept operator keystrokes to apply the payment forposting in accordance with the cardholder's choice. Cash advances may beavailable against the RAIR line. According to an exemplary application,charge requests which exceed the available RAD line may be applied tothe RAIR line if available, but excess charges to the RAIR line may notbe placed against the RAD line. Other scenarios may apply.

When the cardholder presents a card for payment at a participating RADmerchant and the card is run through the authorization terminal, the BINwill indicate to the acquirer that the card has a RAD line and triggerthe request for the RAD assigned to the cardholder from the issuer inaddition to requesting an authorization over the card associationnetwork. When the transaction is purchased, the acquirer will deduct aportion of the discount, compute the association portion of thediscount, forward the amount to the association for compensation fornetwork services, and send the balance of the discount to the issuer. Inthe GPCC environment, the standard interchange fee may be forwarded tothe issuer and as such would result in the discount premium accruing tothe acquirer and not the issuer who is the risk-bearer. If the merchantis a non-RAD merchant, the transaction may be handled in accordance withthe process and procedures for a general GPCC transaction.

According to an embodiment of the present invention, a method and systemare directed to dynamically adjusting discount rates in a closed looptransaction based on factors, such as consumer risk and/or consumercredit worthiness, for shifting the compensation of the risk to amerchant entity. According to an embodiment of the present invention, arisk-based discount rate structure may be applied to a consumer accountwhere the cost of the risk premium may be shifted from the consumer viaa finance charge to the merchant via a discount rate. By adjusting thediscount rate paid by the merchant, a higher discount rate may beapplied to a purchase made by a riskier consumer in a closed looptransaction. As a result, rather than increasing the financing charge,the merchant pays a higher percentage of the purchase to compensate forthe consumer's risk. Therefore, the consumer is able to maketransactions without the higher financing charge. As the consumer's riskor credit worthiness changes (e.g., improves or deteriorates), thediscount rate may be adjusted accordingly. Similarly, a lower discountrate may also be applied.

An embodiment of the present invention relates to a method and systemfor compensating or covering the credit risk of a cardholder by varyingthe discount rate within an acceptable range of a merchant in accordancewith the changing risk of the individual credit customer or consumer.Also, other factors may have an affect on the discount rate. Forexample, the discount rate may be adjusted based on the channel in whicha product is being purchase. For example, Internet purchases may have adifferent risk profile as compared to store purchases. Otherconsiderations may include type of purchase, merchant data, type ofmerchant, price of purchase, timing of purchase, transaction data, etc.Other external considerations may include economic data, events (e.g.,world events, political events, etc.) and/or other factors.

FIG. 1 is a diagram of a system for dynamically adjusting discount ratesin a closed loop transaction, according to an embodiment of the presentinvention. In this example, a Consumer 110 may make a purchase of goodsand/or services at Merchant 112, 114. The purchase may be made bypassing a card through a merchant's point of sale (PoS) device, forexample, or other mode of credit card transactions, including phoneorder, Internet, wireless communications, etc. The card transaction maybe made by providing a card number or other identifier. In addition, aconsumer may represent an individual, a small business or other consumerentity. Discount rates may be adjusted by channel, size and/or type oftransaction. Other characteristics associated with the merchandise,vendor or transaction itself may be considered. For example, for a largeticket item, such as $5000 television, the discount rate may be adjustedbased on the size of the transaction where the discount rate may becapped at a certain limit amount.

An embodiment of the present invention is directed to adjustingfinancing charges and credit levels based on a consumer's creditworthiness or risk, which may include a credit score or FICO score,behavior data including payment history, timeliness of payment, amountof payment (e.g., total payoff, partial payoff, etc.), delinquency dataand other data associated with the consumer. Other factors may also beconsidered, including merchant related data, transaction data, etc. Forexample, the discount rate may be adjusted dynamically to compensate forriskier consumers and/or the credit-worthiness of the consumer.

Bank Processor 120 may represent a credit card issuer or other similarentity. In this example, Bank Processor 120 may include various modulesincluding Card Issuing Module 122, Rate Determining Module 124,Adjustment Module 126 and other module 128, which may represent otherfunctionality. Card Issuing Module 122 of Bank Processor 120 may issue aconsumer a product for making purchases, such as a credit card product.

In a closed loop transaction, Merchant 112 may transmit a request forpurchase authorization to Bank Processor 120, as shown by 130. In aclosed loop transaction, interaction with a Merchant Acquirer and/orCard Association may be avoided. Upon receiving the request for purchaseauthorization, Bank Processor 120 may access a consumer credit file (orother indication of risk rating), which may be stored and accessed atConsumer Database 146. The consumer credit file may include consumerdata, credit worthiness data, consumer risk data, consumer behaviordata, etc. A table (or other format) of discount rates for each consumermay be stored in Rates Database 144. Merchant-related data may be storedin database 148. The data stored in these databases may be received fromvarious sources, including external sources. By accessing a discountrate table associated with the consumer, Bank Processor 120 may apply anappropriate discount rate for the transaction. Other sources of rateinformation may also be accessed. In this example, Bank Processor 120may transmit a purchase authorization with the appropriate discount rateto be applied. For a riskier consumer, a higher discount rate may beapplied than for a less risky consumer. Also, for certain transactions,a higher discount rate may be applied to a riskier transaction, such asdiamond jewelry over the Internet, as opposed to a less riskytransaction, such as purchasing college books at the university bookstore. Seasonal considerations may also be a factor. For example, it maybe common knowledge in the floral industry that a large amount of fraudoccurs during Mother's day. Therefore, these purchases may be consideredmore risky transactions and discounts rates may be adjusted accordingly.As rates may be increased for riskier consumers (or transactions), ratesmay also be decreased for less risky consumers (or transactions).

After the transaction, Bank Processor 120 may transmit a bill or otherrequest for payment to Consumer 110 in accordance with the cardholderagreement with the issuer(s). Payment may be made to Bank Processor 120.Bank Processor 120 may then settle the payment with a merchantdesignated entity, such as Merchant Bank 140, 142.

As a general rule, Merchants want to increase sales and increase thereal income from most or all consumers, including riskier consumers. AMerchant may be willing to increase gross sales at the expense of thenet sales based on the margins received on the sales. Therefore, anembodiment of the present invention is directed to shifting the risk (orcompensation for the high premium) to the merchant and offering a lowerinterest rate to the consumer. For example, rather than raising theinterest rate for a riskier consumer to 20%, the consumer is charged 15%and the merchant discount rate is adjusted to compensate for the risk.

FIG. 2 is a diagram of a system for dynamically adjusting discountrates, according to an embodiment of the present invention. BankProcessor 220 may represent a credit card issuer or other similarentity. In this example, Bank Processor 220 may include various modulesincluding Card Issuing Module 222, Rate and/or Fee Determining Module224, Adjustment Module 226 and other module 228, which may representother functionality. Card Issuing Module 222 of Bank Processor 220 mayissue a consumer a product for making purchases, such as a credit cardproduct.

Consumer 210 may engage in a transaction through Merchant 212. Thetransaction may be performed at a Merchant's point of sale, via phoneorder, via the Internet or other mode of communication. The transactionmay involve the purchase (or lease) of goods and/or services. Consumer210 may provide the credit card at the point of sale or provide theassociated account number or other identifier to the Merchant via apreferred mode of communication, such as Internet, phone order, wirelesscommunication, etc. In addition, a consumer may represent an individual,a small business or other consumer entity.

According to an example of an embodiment of the present invention, thecredit card product may have two lines of credit. The first line ofcredit may be a general purpose line and the second line of credit maybe a closed loop line. The general purpose line may be used anywhere thecard is accepted and is generally assigned a lower credit limit. Theclosed loop line may be used at specified merchants where the discountrate may be adjusted based on the consumer credit worthiness, forexample. The lines of credit, credit level, interest rate and/or othercriteria may be determined based on consumer data, merchant data and/orother data. According to an embodiment of the present invention, theCard Issuing Module 222 may also identify credit worthiness of at leastone consumer, assign a credit level to each line of credit associatedwith a credit product for the at least one consumer and assign afinancing charge to each line of credit.

In another example, Router 250 may be implemented to determined anappropriate line of credit. Router 250 may be separate or combined withMerchant 212. For example, Router 250 may identify charges at the pointof sale, so that the transaction may be identified as a closed looptransaction, a card association network transaction or other type oftransaction. Depending on the type of transaction, Router 250 may routethe request to an appropriate environment. For example, for a generalpurpose line, the transaction may be routed through Merchant Acquirer216 and Card Association 218. For a closed loop transaction, thetransaction may be routed through a separate channel, as shown by 252.

The consumer may define or select conditions or preferences whendetermining the appropriate line of credit. For example, the consumermay specify that all eligible charges are applied to the general purposeline first. If charges are not eligible for the first credit line, thenthe second line will be applied. In another example, the consumer mayprefer to use the closed loop line first and all other charges to beapplied to the general purpose line. In another example, a certainportion or percentage of each transaction may be applied to the generalpurpose line and to the closed loop line for eligible transactions.Other conditions or preferences may be applied.

For example, the consumer may use the GPCC credit line with allmerchants accepting the card, but may use a second level “closed loopcard” with a specific merchant who has a closed loop relationship withthe card issuer. Where both lines are accepted at a merchant, the lowercost line of credit may be used first, until that line is exhausted. Anyamount over the GPCC line may be automatically charged to the “closedloop card.”

For a general purpose transaction, Merchant Acquirer 216 mayelectronically collect information related to the purchase. The data mayinclude card number, purchase amount and/or other information related tothe transaction. The data may be sent to a Card Association 218 toobtain permission to authorize the transaction. For example, MerchantAcquirer 216 may send a purchase authorization request for the creditcard transaction. Merchant 212 may represent any entity selling orproviding products and/or services to a consumer through a merchantfacility (point of sale), via phone, via Internet or other method ofconducting business. Merchant Acquirer 216 may represent a paymentsystem for allowing merchants (or other retail clients) to acceptvarious types of electronic payment. Card Association 218 may representa credit card company (e.g., VISA™, MasterCard™, American Express™,etc.).

For the closed loop transaction or a portion of the purchase applied tothe closed loop line of credit, the purchase authorization request maybe sent to Bank Processor 220. By accessing a consumer file for theconsumer, an appropriate table of discount rates (or other format) maybe accessed. If eligible, Bank Processor 220 may then return purchaseauthorization message to the Merchant and an appropriate discount ratefor the transaction.

For example, the credit card may include (1) a general purpose line witha lower credit level (e.g., $200) which may be used anywhere the creditcard is accepted and (2) a private label line with a higher credit level(e.g., $1200) which may be used at a specified venue, such as one ormore specific merchants. While the first credit line may be forgeneral-purpose use in a card association network (e.g., VISA™ network,etc.), the second credit line may be a closed loop (e.g. not through thecard association network) with a participating one or more merchants. Inthis example, the discounts rates of the closed loop line may beadjusted based on consumer risks, merchant data and/or otherconsiderations. According to one example, the closed loop line may havean adjustable level of discount rate based on the riskiness of theconsumer (and/or other factors) where interaction with a cardassociation is avoided. The general purpose line may have a lower creditlimit and use a standard discount rate and/or interchange fee through acard association. Each periodic (e.g., monthly) payment may becalculated and applied against the multiple lines of credit.

Further, additional lines of credit may be implemented, in accordancewith an embodiment of the present invention. For example, an additionalthird credit line with a third credit level with an adjusted discountrate for a specified venue (e.g., another one or more merchants) may beimplemented. In accordance with an embodiment of the present invention,additional credit lines with adjusted discount rates may be implemented.In addition, the discount rates may be adjusted based on merchantconsiderations. For example, for merchants selling higher priced items,such as a furniture store, jewelry store, etc., a higher adjusteddiscount rate may be implemented. In another example, for a nationalchain of discount stores, a lower adjusted discount rate may beimplemented. Similarly, an individually owned merchant may not have theresources of pay a higher discount rate for each transaction. Othermerchant factors may be considered.

Discount rates may be determined at Rate and/or Fee Determining Module224 of Bank Processor 220. These rates may be based on consumer data,such as consumer risk and/or credit worthiness, as well as merchantdata. Other factors and considerations (e.g., transaction type, amountof purchase, historical data, economic data, etc.) may also affect therates. In addition, other rates and/or fees within the credit cardtransaction may also be adjusted in accordance with an embodiment of thepresent invention. In view of changes in circumstances, consumer and/ormerchant related data may be used to subsequently adjust the discountrates by Adjustment Module 226. The discount rates (and/or interchangefees, as discussed below) may be stored in database 244. Consumer data,credit worthiness data may be stored in database 246. Merchant-relateddata may be stored in database 248. The data stored in these databasesmay be received from various sources, including external sources. Afterreceiving a bill or other statement, consumer 210 may make a payment toa Card Issuing Bank (or Bank Processor 220). The payment may be settledwith a merchant designated entity, such as Merchant bank 240, 242.

For example, a co-branded merchant may make 50% margin or a discountmerchant may make 27% gross margin. Thus, the incremental revenue of ahigh risk consumer will be justified because of the marginal revenuewill offset the marginal cost. Using a Card Association system (e.g.,the VISA system), with 250 basis points, the merchant has $50 in goodsand sells the goods for $100 to a customer, and receives $97.50 from thecredit card company. A $2.50 fee (2.5%) is experienced by the merchantwhere the merchant earns a gross margin of $47.50. In anothertransaction, the consumer may not have access to a standard GPCC becausethe consumer's weaker credit-worthiness may not qualify for a dual-linecard with a closed-loop line. In such a case, a merchant pays 7.5%discount (or other percentage). The merchant may receive $92 from cardissuer (e.g., Bank Processor, etc.). In this example, the merchant maywithstand a much higher loss rate, such as 8-10%, where the discountrate may be based on individual consumer risk.

According to an embodiment of the present invention, more business withconsumers of less then prime credit may be conducted by adjusting adiscount rate for a closed loop transaction. In addition, discount ratesmay be adjusted based on consumer data (and/or other data) and mayfurther be dynamically adjusted at the point of sale. Rather thanchanging the consumer's interest rate (e.g., raising the interest rate),an embodiment of the present invention encourages more business byhaving the merchant pay more of the discount rate (e.g., compensatingfor the credit risk of the consumer).

FIG. 3 is a flowchart illustrating a method for adjusting a line ofcredit for a closed loop transaction, according to an embodiment of thepresent invention. At step 310, consumer risk and consumer risk limitmay be determined. Consumer risk may include credit worthiness, etc.This information may be obtained through a scoring algorithm, such as aFair Isaac and Company (FICO) score. A consumer risk limit may representa threshold point where it becomes unprofitable to extend credit to theconsumer. For example, a merchant may calculate a threshold point wherean incremental sale is not worth the incremental cost of credit forsubstandard consumer. Other risk factors may be assessed and considered.At step 312, an appropriate credit level may be assigned. At step 314,an appropriate financing charge may be assigned to the credit level ofthe closed loop transaction. Other restrictions and/or conditions may beapplied as well. At step 316, a table of discounts rates may be applied.For example, a bank processor may append an indication of risk to a cardmember file, which may include a table of discounts rates related tothat individual consumer's risk. At step 318, an appropriate discountrate may be determined for a transaction. The discount rate may be usedto determine how much the bank processor receives from the Merchant. Atstep 320, the merchant and/or bank processor may periodically (e.g.,monthly, quarterly, etc.) review or monitor the discount rate versusrisks to understand the cost of sales (and/or other data) and furthertrace the risk ratings of the consumer. At step 322, adjustments to thediscount rate may be made, based on certain information, such as changein a consumer's credit worthiness status, merchant related factors(e.g., sales, inventory, business reasons, etc.) as well as size oftransaction, type of transaction, type of merchandise, transactionchannel, and/or other factors.

FIG. 4 is a flowchart illustrating a method for adjusting a line ofcredit for a dual card transaction, according to an embodiment of thepresent invention. At step 410, consumer risk and consumer risk limitmay be determined. Consumer risk may include credit worthiness, etc.This information may be obtained through a scoring algorithm, such as aFICO score. A consumer risk limit may represent a threshold point whereit becomes unprofitable to extend credit to the consumer. Other riskfactors may be assessed and considered. At step 412, an appropriatecredit level may be assigned to each line of credit. At step 414, anappropriate financing charge may be assigned to each line of creditlevel. Other restrictions and/or conditions may be applied as well. Atstep 416, an appropriate line of credit may be determined for atransaction. For a general purpose transaction, a standard discount rateand/or interchange fee may be applied, at step 418. For a closed looptransaction, an appropriate table of discount rates may be applied, atstep 420. For example, a bank processor may append an indication of riskto a card member file, which may include a table of discounts ratesand/or interchange fees related to that individual consumer's risk. Atstep 422, an appropriate discount rate may be determined. The discountrate may be used to determine how much the Bank Processor receives fromthe Merchant. At step 424, the merchant and/or bank processor mayperiodically (e.g., monthly, quarterly, etc.) review the discount rateversus risks to understand the cost of sales (and/or other data) andfurther trace the risk ratings of the consumer. At step 426, adjustmentsto the discount rate may be made, based on certain information, such aschange in a consumer's credit worthiness status, merchant relatedfactors (e.g., sales, inventory, business reasons, etc.) as well as sizeof transaction, type of transaction, type of merchandise, transactionchannel, and/or other factors.

FIG. 5 is an example of a flowchart illustrating a method forimplementing a dual card, according to an embodiment of the presentinvention. At step 510, a merchant may send a request for authorizationfor a purchase requested by a consumer. At step 512, a processor mayaccess a consumer credit file associated with the consumer requestingthe purchase. At step 514, it may be determined whether the purchase isauthorized for a first line of credit. If the purchase is authorized,the first line of credit may be used for the purchase. In this example,the first line of credit may be a general purpose line and the secondline of credit may be the closed loop line. If the purchase is notauthorized for the first line of credit (e.g., general purpose line), itmay be determined whether the purchase is authorized by the secondcredit line (e.g., closed loop line). If not, the authorization requestis denied, at step 520. If the purchase is authorized for the secondcredit line, a table of discount rates for the consumer may be accessedat step 522. At step 524, an appropriate discount rate may be applied tothe purchase. In another example, the first line of credit may representa closed loop line and the second credit line may represent a generalpurpose line. Other variations may be implemented.

A system of an embodiment of the present invention may allow an entity(e.g., Card Issuing Bank, Bank Processor, etc.) to compete with privatelabels that serve a non-prime segment where consumer riskiness isadjusted through higher finance charges to the consumers.

According to another embodiment of the present invention, an interchangefee for the general purpose line may also be dynamically adjusted basedon consumer data as well as other data. Interchange fees generallyinclude fee paid by a Merchant via Merchant Acquirer to a credit cardissuer, such as Card Issuing Bank, for transactions that are processedthrough Interchange. In accordance with an embodiment of the presentinvention, the interchange fees may be adjusted based on consumer risk,including consumer credit worthiness and/or other data.

A process of determining a discount rate and/or interchange fee may bebased on consumer data (e.g., individual risk), merchant data (e.g.,sales data, inventory, etc.) and/or other data and may be adjusteddynamically. Consumer data may include consumer credit worthiness,consumer risk, triggering events and/or other data related to aconsumer's ability to pay for a transaction. For example, the discountrate and/or interchange fee may be raised and lowered based on changingrisk scores (e.g., FICO, etc.) as well as other factors andconsiderations. In addition, predetermined triggering events may alsoadjust the discount rate and/or interchange fee. For example, triggeringevents may include bankruptcy, an account reaching a certain level, lifeevents or other triggers.

Other factors that may affect discount rates and/or interchange fees mayinclude merchant-based considerations, such as sales data, businessneeds, etc. For example, some merchants may take into considerationcertain factors such as seasons (e.g., holidays), world events,inventory, etc. In addition, during slow periods (e.g., recession, sloweconomy, low consumer confidence, etc.) merchants may adjust thediscount rates and/or interchange fees accordingly to encourage morespending. For example, during a busy spending season, such as Christmas,the discount rates and/or interchange fees may be adjusted to encouragemore spending. In this example, a popular toy store during Christmastime may increase sales by adjusting discount rates and/or interchangefees according to consumer risk and/or merchant data. The toy storecould tolerate a higher discount because they have a higher margin, andfurther increase their incremental sales. Therefore, an appropriatediscount rate and/or interchange fee may be based on consumer data,merchant data, a combination thereof, and/or other information. Inanother example, discount rates may be adjusted by using a multiplier.This method may also be applied to adjust interchange fees. Anembodiment of the present invention may involve adding a multiplierbased on the riskiness of the individual, with the merchant acceptingmore of the risk. For example, a merchant may be charged a specificinterchange rate.

Another embodiment involves consumers with higher credit worthinessreceiving more rewards, better prices, and perhaps the interchange ratewould be discounted on the spot. Less credit worthy consumers mayreceive less or zero rewards, and perhaps even a higher price at thePOS, because the merchant is taking more risk. In addition, the ratesmay be adjusted higher or lower depending on the amount of risk, as wellas other considerations.

The present invention is not to be limited in scope by the specificembodiments described herein. Indeed, various modifications of thepresent invention, in addition to those described herein, will beapparent to those of ordinary skill in the art from the foregoingdescription and accompanying drawings. Thus, such modifications areintended to fall within the scope of the following appended claims.Further, although the present invention has been described herein in thecontext of a particular implementation in a particular environment for aparticular purpose, those of ordinary skill in the art will recognizethat its usefulness is not limited thereto and that the presentinvention can be beneficially implemented in any number of environmentsfor any number of purposes. Accordingly, the claims set forth belowshould be construed in view of the full breath and spirit of the presentinvention as disclosed herein.

1. An automated computer implemented method for dynamically adjustingdiscount rates for a card transaction, wherein the method is executed bya programmed computer processor, the computer implemented methodcomprising the steps of: identifying credit worthiness of at least oneconsumer, at an issuing module using the programmed computer processor;assigning a first credit level to a line of credit associated with acredit product for the at least one consumer, at the issuing moduleusing the programmed computer processor, wherein the credit product isaccepted at an identified one or more merchants, wherein at least one ofthe identified one or more merchants is within a closed loop network;assigning a second credit level to a second line of credit associatedwith the credit product, at the issuing module using the programmedcomputer processor, wherein the second line of credit is for general usewithin a card association network; assigning a first financing charge tothe first line of credit; assigning a second financing charge to thesecond line of credit, at the issuing module using the programmedcomputer processor, wherein the first financing charge is different fromthe second financing charge; determining a discount rate for at leastone transaction based at least in part on the credit worthiness of theat least one consumer and based at least in part on merchant-relateddata, using the programmed computer processor; and applying the discountrate when at least one transaction is made with the credit product atthe identified one or more merchants within the closed loop network, atthe rate determining module using the programmed computer processorwherein the discount rate is paid by the identified one or moremerchants; wherein the discount rate is dynamically adjusted as thecredit worthiness of the at least one consumer changes.
 2. The method ofclaim 1, wherein the credit worthiness is determined by a FICO riskscore.
 3. The method of claim 1, wherein the second line of credit isdynamically adjusted.
 4. The method of claim 1, wherein the step ofdetermining the discount rate is based at least in part on the creditworthiness of the at least one consumer further comprises the step of:determining the discount rate based at least in part on merchant-relateddata comprising at least one of sales data, inventory data, economydata, type of channel and type of merchandise.
 5. The method of claim 4,further comprising the step of: dynamically adjusting the discount rateas the merchant-related data is adjusted.
 6. The method of claim 1,wherein a transaction type is identified at a point of sale for routingthe transaction to an appropriate network.
 7. The method of claim 1,wherein an interchange fee associated with the general purpose line isbased at least in part on the credit worthiness of the at least oneconsumer.
 8. The method of claim 7, wherein the interchange fee isdynamically adjusted as the credit worthiness of the at least oneconsumer fluctuates.
 9. The method of claim 1, wherein the step ofdetermining a discount rate involves assigning a table of discount ratesand selecting the appropriate discount rate for each transaction. 10.The method of claim 1, wherein the at least one consumer represents aclass of consumers.
 11. The method of claim 1, wherein the identifiedone or more merchants are within a closed loop network.
 12. A computerimplemented system for dynamically adjusting discount rates for a cardtransaction, the computer implemented system comprising: a processor; anissuing module for identifying credit worthiness of at least oneconsumer; assigning a first credit level to a line of credit associatedwith a credit product for the at least one consumer wherein the creditproduct is accepted at an identified one or more merchants within aclosed loop network; assigning a second credit level to a second line ofcredit associated with the credit product wherein the second line ofcredit is for general use within a card association network; andassigning a first financing charge to the line of credit; and assigninga second financing charge to the second line of credit, wherein thefirst financing charge is different from the second financing charge; arate determining module for determining a discount rate for at least onetransaction based at least in part on the credit worthiness of the atleast one consumer and based at least in part on merchant-related data;and applying the discount rate when the at least one transaction is madewith the credit product at the identified one or more merchants withinthe closed loop network, wherein the discount rate is paid by theidentified one or more merchants; wherein the discount rate isdynamically adjusted as the credit worthiness of the at least oneconsumer; and wherein the processor, the issuing module, the ratedetermining module are interoperatively connected.
 13. The system ofclaim 12, wherein the credit worthiness is determined by a FICO riskscore.
 14. The system of claim 12, wherein the second line of credit isdynamically adjusted.
 15. The system of claim 12, wherein the discountrate is further based at least in part on merchant-related datacomprising at least one of sales data, inventory data, economy data,type of channel and type of merchandise.
 16. The system of claim 15,wherein the discount rate is dynamically adjusted as themerchant-related data is adjusted.
 17. The system of claim 12, wherein atransaction type is identified at a point of sale for routing thetransaction to an appropriate network.
 18. The system of claim 12,wherein an interchange fee associated with the general purpose line isbased at least in part on the credit worthiness of the at least oneconsumer.
 19. The system of claim 18, wherein the interchange fee isdynamically adjusted as the credit worthiness of the at least oneconsumer fluctuates.
 20. The system of claim 12, wherein the ratedetermining module assigns a table of discount rates and identifies theappropriate discount rate for each transaction.
 21. The system of claim12, wherein the at least one consumer represents a class of consumers.22. The system of claim 12, wherein the identified one or more merchantsare within a closed loop network.
 23. A computer program of instructionsconfigured to be readable by at least one programmed computer processorto execute a computer process for performing the method as recited inclaim
 1. 24. An automated method for implementing a credit card productwith multiple lines of credit, wherein the method is executed by aprogrammed computer processor, the method comprising the steps of:implementing a general purpose line with a first credit level, at theissuing module using the programmed computer processor; and implementinga private label line with a second credit level different from the firstcredit level, at the issuing module using the programmed computerprocessor; wherein a first discount rate is applied to the generalpurpose line and a second discount rate based at least in part on thecredit worthiness of the at least one consumer and based at least inpart on merchant-related data is applied the private label line andwherein the first discount rate is different from the second discountrate; and wherein the second discount rate is paid by one or moremerchants associated with the private label line.
 25. The method ofclaim 24, wherein the private label line has an adjustable discountrate.
 26. A credit card product with multiple lines of credit, thecredit card product comprising: a general purpose line with a firstcredit level; and a private label line with a second credit leveldifferent from the first credit level; wherein a first discount rate isapplied to the general purpose line and a second discount rate based atleast in part on the credit worthiness of the at least one consumer andbased at least in part on merchant-related data is applied the privatelabel line and wherein the first discount rate is different from thesecond discount rate; and wherein the second discount rate is paid byone or more merchants associated with the private label line.
 27. Theproduct of claim 26, wherein the private label line has an adjustablediscount rate.
 28. A computer program of instructions configured to bereadable by at least one processor for dynamically adjusting discountrates for a card transaction, the computer program comprising:identifying means for identifying credit worthiness of at least oneconsumer; assigning means for assigning a credit level to a line ofcredit associated with a credit product for the at least one consumerwherein the credit product is accepted at an identified one or moremerchants; assigning means for assigning a financing charge to the lineof credit; determining means for determining a discount rate for atleast one transaction based at least in part on the credit worthiness ofthe at least one consumer and based at least in part on merchant-relateddata; and applying means for applying the discount rate when at leastone transaction is made with the credit product wherein the discountrate is paid by the identified one or more merchants; wherein theapplied discount rate is adjusted based on the credit worthiness of theat least one consumer; wherein at least one of the identified one ormore merchants is within a closed loop network.
 29. An automatedcomputer implemented method for dynamically adjusting discount rates fora card transaction, wherein the method is executed by a programmedcomputer processor, the computer implemented method comprising the stepsof: identifying credit worthiness of at least one consumer, using theprogrammed computer processor; assigning a credit level to a line ofcredit associated with a credit product for the at least one consumer,using the programmed computer processor, wherein the credit product isaccepted at an identified one or more merchants within a closed loopnetwork; assigning a financing charge to the line of credit, using theprogrammed computer processor; determining a discount rate for at leastone transaction based at least in part on the credit worthiness of theat least one consumer and merchant-related data comprising at least oneof sales data, inventory data, and economy data, wherein the creditworthiness is determined by a FICO risk score, using the programmedcomputer processor; assigning a second credit level to a second line ofcredit associated with the credit product, using the programmed computerprocessor, wherein the second line of credit is for general use within acard association network; applying the discount rate when the at leastone transaction is made with the credit product, using the programmedcomputer processor; wherein a transaction type is identified at a pointof sale for routing the transaction to an appropriate network; whereinthe discount rate is paid by the identified one or more merchants; anddynamically adjusting the discount rate as the credit worthiness of theat least one consumer fluctuates and dynamically adjusting the discountrate as the merchant-related data is adjusted, using the programmedcomputer processor; wherein the applied discount rate is adjusted basedon the credit worthiness of the at least one consumer; wherein aninterchange fee associated with the general purpose line is based atleast in part on the credit worthiness of the at least one consumer; andthe interchange fee is dynamically adjusted as the credit worthiness ofthe at least one consumer fluctuates.
 30. An automated computerimplemented method for dynamically adjusting discount rates for a cardtransaction, wherein the method is executed by a programmed computerprocessor, the computer implemented method comprising the steps of:identifying credit worthiness of at least one consumer, using theprogrammed computer processor; assigning a credit level to a line ofcredit associated with a credit product for the at least one consumer,using the programmed computer processor; assigning a financing charge tothe line of credit, using the programmed computer processor; determininga discount rate for at least one transaction based at least in part onthe credit worthiness of the at least one consumer and merchant-relateddata comprising at least one of sales data, inventory data, and economydata, wherein the credit worthiness is determined by a risk score, usingthe programmed computer processor; assigning a second credit level to asecond line of credit associated with the credit product, using theprogrammed computer processor, wherein the second line of credit is forgeneral use within a card association network; applying the discountrate when at least one transaction is made with the credit product,using the programmed computer processor; wherein a transaction type isidentified at a point of sale for routing the transaction to anappropriate network; wherein the discount rate is paid by the identifiedone or more merchants; and dynamically adjusting the discount rate asthe credit worthiness of the at least one consumer fluctuates and as themerchant-related data is adjusted, using the programmed computerprocessor; wherein the applied discount rate is adjusted based on thecredit worthiness of the at least one consumer; wherein an interchangefee associated with the general purpose line is based at least in parton the credit worthiness of the at least one consumer; and theinterchange fee is dynamically adjusted as the credit worthiness of theat least one consumer fluctuates.